To the Editor
The use of electronic cigarettes (e-cigarettes) and vaping devices in the United States has escalated during the past decade with an increasing number of exposed patients presenting for elective and emergent procedures [1]. Neither the number of e-cigarette users undergoing surgical procedures under anesthesia nor the prevalence of E-cigarette or vaping products use-associated lung injury (EVALI) during the perioperative period is known [2]. Vaping is not benign, as EVALI has been reported following anesthesia for bronchoscopy [3]. In light of the COVID-19 pandemic, potential adverse pulmonary effects of vaping is especially concerning [4]. Anesthesiologists have an important role in addressing perioperative morbidity associated with vaping since these patients are seen preoperatively and can be flagged in the electronic health record (EHR) for follow-up. This report describes the deployment and implementation of a preoperative screening tool within our EHR to identify patients who are vaping and the extent of their exposure. Such information is critical to the development of recommendations for the preoperative management of such patients.
In November 2019, we implemented a pilot, paper-based screening tool for all patients seen in our preoperative clinic that asked about the use vaping. The Institutional Review Board of University of Miami approved the study with a waiver of written informed consent. Patient screening was performed either in person or over the phone by Advanced Registered Nurse Practitioners and Registered Nurses working under the direction of the anesthesiologist medical director of the preoperative clinic (SE).
Of the initial 347 patients screened using the paper-based process, 13 reported actively using e-cigarettes or vaping (prevalence of 3.7%). The median age of these patients was 43 years old (interquartile range 27 to 59.5 years). Among those screened, 69% were male, 50% used e-cigarettes “few times a week,” and the median duration of use was 6.5 months (interquartile range 2 to 12 months). Many of the vaping patients reported using THC-containing marijuana products (8 of 13). It is particularly important to identify those patients consuming THC-containing e-cigarettes, since the majority of cases of EVALI have been associated with such use [5].
Following the pilot screening, the hospital's information systems department incorporated the screening questions into the EHR (PowerChart, Cerner Corporation, North Kansas City, MO). Screening for e-cigarette use became a mandatory part of the pre-operative clinic evaluation. The relevant questions appear in preoperative anesthesia evaluation under social history (Fig. 1 ). These data will allow us to assess the relative risk of vaping on adverse perioperative pulmonary outcomes (hypoxemia, increased airway reactivity, coughing, inability to extubate, unanticipated intensive care unit admission).
In our pilot study, we found a clinically important incidence of e-cigarettes use and vaping in patients evaluated by our preoperative clinic that corresponded to the general population prevalence of such use. Based on this, we felt it was warranted to formalize the screening process into our EHR and make it a mandatory part of the preoperative evaluation. Adding the screening questions to PowerChart was straightforward and should be easily accomplished in other EHRs such as Epic (Epic Systems, Verona, WI).
Identifying patterns of use and type of vaping products being used represents the first step to assess the perioperative risks of these patients and to develop triage criteria for preoperative referral to a pulmonologist. Prospective collection of pulmonary outcomes data in patients who are vaping is needed to assess the risks involved and provide more informed decision-making as to the timing of elective surgery and the need for preoperative evaluation by a pulmonologist in the context of such use. We are currently engaged in such a process.
Declaration of competing interest
The authors declare no competing interests.
Acknowledgments
Acknowledgements
Not applicable.
Funding statement
Support was provided solely from institutional and/or departmental sources.
Author's contributions
Roman Dudaryk: This author helped in conceptualization of the study, original draft manuscript writing, editing and final review.
Jose R. Navas-Blanco: This author helped in original draft manuscript writing, editing and final review.
Scott Eber: This author helped screening the patients in the preoperative clinic, design of the assessment tool, data gathering and manuscript review.
Richard H. Epstein: This author helped in conceptualization of the study, manuscript writing, editing and final review.
References
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